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Bewertung und Feedback des Lernenden für SQL for Data Science von University of California, Davis

4.6
Sterne
12,791 Bewertungen
3,295 Bewertungen

Über den Kurs

As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems. This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables. You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. You will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. Although we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!...

Top-Bewertungen

JP

5. Apr. 2020

This course has really helped with optimizing queries that I work with everyday, enhancing my understanding of RDBMS, joins, analyzing and structuring exactly what you need and yielding those results.

JG

22. Aug. 2021

I thought this course was great! Great introduction to Relational Databases and SQLite. Highly reccomend for anyone new to SQL, Databases, or someone looking to get started with a data science career.

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2701 - 2725 von 3,372 Bewertungen für SQL for Data Science

von Abhyudaya A

17. Mai 2020

Good Course, could have been more elaborate but the instructor was very friendly and a unique way of teaching.

von Camilo L M

15. Sep. 2020

The course provides simplicity and an entry-level understanding to write complex SQL queries for data science

von ‪Yakir G

17. Apr. 2020

some of the questions were not written so clear

but oevrall im sutisfy with the result and with the lvl work

von nitish

12. März 2020

good learning curve.good for complete beginners to explore on SQL

The use cases and assignment were top notch.

von Manuel J

18. Mai 2021

The slides could be a little bit more complete and some of the questions are misleading. The rest was great!

von Amit P

24. Juli 2020

Quiet through course focusing on brushing your SQL that can be applied further for Data Science & Analytics.

von NIKHIL S

15. Juni 2020

It was a very beneficial course for me and also my first online course with Coursera which I have completed.

von Vera B

16. Dez. 2019

The course is really good. I assume it would be great if professionals can also review our final assignment.

von Anjali R

11. Mai 2022

Great SQL learning from Coursera. A knowledgable course at self pace study with indepth practice sessions.

von Mauro B

5. Juli 2021

Very direct, with just a few examples, might be a challenge for newcomers to fully understand the concepts

von Rishikesh a

6. Okt. 2020

good, the language used for this explanation is very simple & anyone can learn sql from this course easily

von Eunica N

28. Nov. 2020

Good enough to have a basic idea what SQL is, but not enough to have the skill to apply SQL in real life.

von Céline L J

12. März 2019

Would be good to have a little more examples and coding exercices during the course to assimilate better.

von cosmin c

4. Juli 2020

The materials are ok, the presenter although could've read his stuff in advance as she keeps stuttering.

von Yağız O

14. Okt. 2019

Providing more links for exercises would be really beneficial for those who wants to master the concept.

von Prashant K

24. Sep. 2019

More questions can be added in quizes. Quiz every week could be divided in simple, medium and hard quiz.

von Luo Y

7. März 2018

It is a useful sql course. But I did not see much connection between sql and data science in the course.

von Pinar T

4. Juli 2022

This is good for beginners but I feel like it's missing a lot of function necessary to fully learn SQL.

von Conrado F M F

4. Feb. 2022

Good course in theory but missing some excercises, I highly recommend w3recourses for practicing SQLite

von Ankit K

26. Mai 2020

It was awesome. But please do add the pdfs in Resources, it will be quite helpful when referencing back

von Denis S

3. Mai 2020

Overall, a great course. However, there are not many quizzes for practice and tasks for coding practice

von Semih Ö

6. Jan. 2019

Nice course for starters, but it would be much better if there were more exercises, and given datasets.

von Bhuvan S M

25. Jan. 2022

Mentor interaction could be more better in discussion forum. Otherwise love the content of the course.

von Pongsasit T

17. Sep. 2019

good video and coding practice. But this course will be 5 star if have more coding practice. Thank you

von Alex

30. März 2019

Need more practice for complex coding. The coding assignment, except to the yelp case, are too simple.